diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 2ba5054..4ae39e6 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -13,7 +13,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     strategy:
       matrix:
-        os: [ubuntu-latest, windows-latest, macOS-latest]
+        os: [ubuntu-latest, windows-latest, macos-latest]
 
     steps:
       - uses: actions/checkout@v4
diff --git a/examples/plot_quantile_conformalized.py b/examples/plot_quantile_conformalized.py
index 37312e4..04b6514 100755
--- a/examples/plot_quantile_conformalized.py
+++ b/examples/plot_quantile_conformalized.py
@@ -9,6 +9,7 @@
 while QRF may require additional calibration for reliable interval estimates.
 This example uses MAPIE to construct the CQR interval estimates with a QRF.
 """
+
 print(__doc__)
 
 import warnings
diff --git a/examples/plot_quantile_extrapolation_problem.py b/examples/plot_quantile_extrapolation_problem.py
index 37b55ca..cf57320 100755
--- a/examples/plot_quantile_extrapolation_problem.py
+++ b/examples/plot_quantile_extrapolation_problem.py
@@ -9,6 +9,7 @@
 approach.
 
 """
+
 print(__doc__)
 
 import matplotlib.pyplot as plt
diff --git a/examples/plot_quantile_interpolation.py b/examples/plot_quantile_interpolation.py
index d08bbc7..352641d 100755
--- a/examples/plot_quantile_interpolation.py
+++ b/examples/plot_quantile_interpolation.py
@@ -7,6 +7,7 @@
 prediction when the desired quantile lies between two data points.
 
 """
+
 print(__doc__)
 
 import matplotlib.pyplot as plt
diff --git a/examples/plot_quantile_regression_intervals.py b/examples/plot_quantile_regression_intervals.py
index e13fef8..546de05 100755
--- a/examples/plot_quantile_regression_intervals.py
+++ b/examples/plot_quantile_regression_intervals.py
@@ -7,6 +7,7 @@
 intervals on the California Housing dataset.
 
 """
+
 print(__doc__)
 
 import matplotlib.pyplot as plt
diff --git a/examples/plot_quantile_toy_example.py b/examples/plot_quantile_toy_example.py
index 3abc729..28aa63a 100755
--- a/examples/plot_quantile_toy_example.py
+++ b/examples/plot_quantile_toy_example.py
@@ -8,6 +8,7 @@
 the predictions to a ground truth function used to generate noisy samples.
 
 """
+
 print(__doc__)
 
 import matplotlib.pyplot as plt
diff --git a/examples/plot_quantile_vs_standard_forest.py b/examples/plot_quantile_vs_standard_forest.py
index c1fe8c4..513b3cb 100755
--- a/examples/plot_quantile_vs_standard_forest.py
+++ b/examples/plot_quantile_vs_standard_forest.py
@@ -8,6 +8,7 @@
 distribution, the mean is to the right of the median.
 
 """
+
 print(__doc__)
 
 import matplotlib.pyplot as plt
diff --git a/examples/plot_quantile_weighted_vs_unweighted.py b/examples/plot_quantile_weighted_vs_unweighted.py
index 3b4c348..19b7541 100755
--- a/examples/plot_quantile_weighted_vs_unweighted.py
+++ b/examples/plot_quantile_weighted_vs_unweighted.py
@@ -9,6 +9,7 @@
 comparison.
 
 """
+
 print(__doc__)
 
 import time